A Classifier Model Using Fine-Tuned Convolutional Neural Network and Transfer Learning Approaches for Prostate Cancer Detection by Murat Sarıateş, Erdal Özbay

“…Background: Accurate and reliable classification models play a major role in clinical decision-making processes for prostate cancer (PCa) diagnosis. …”
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Modeling Topic-Specific Influential Users in QA Forums Using Association Rule Mining by Umar Ishfaq, Tassawar Ali, Ali Daud, Mohammed Alreshoodi, Azeem Irshad

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Plastic Injection Molding Process Analysis: Data Integration and Modeling for Improved Production Efficiency by Jose Isidro Hernández-Vega, Luis Alejandro Reynoso-Guajardo, Mario Carlos Gallardo-Morales, María Ernestina Macias-Arias, Amadeo Hernández, Nain de la Cruz, Jesús E. Soto-Soto, Carlos Hernández-Santos

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Are Artificial Intelligence Models Listening Like Cardiologists? Bridging the Gap Between Artificial Intelligence and Clinical Reasoning in Heart-Sound Classification Using Explain... by Sami Alrabie, Ahmed Barnawi

“…The experimental results show that integrating multi-head attention significantly improves both the classification accuracy and interpretability. Notably, ResNet50 with multi-head attention achieved an accuracy of 97.3%, outperforming those of both the baseline and SE-enhanced models. …”
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The Process of Public Decision Making: A Literature Review by Tülin Altun

“…This study examines the developments in the literature on public decision-making models throughout history and evaluates the relevant literature under three main headings by considering the effects of conditions such as changes in economic thought, political institutions, and governmental policies on these models. …”
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Identification of Duplicate Features Among Universal Hydrographic Data Models to Enhance Interoperability Through Natural Language Processing by Hyewon Jeong, Changui Lee

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Category-Based Sentiment Analysis of Sindhi News Headlines Using Machine Learning, Deep Learning, and Transformer Models by Safdar Ali Soomro, Siti Sophiayati Yuhaniz, Mazhar Ali Dootio, Ghulam Mujtaba, Jawaid Ahmed Siddiqui

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Silage Maize Identification Using a Temporal Difference-Based Model with Sentinel-2 Data: Insights from a Harvest-Based and Temporally Transferable Approach by Zhenyu Lin, Ran Huang, Sihan Tan, Lingbo Yang, Jingfeng Huang, Lijun Su, Zhichao Hu

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A probabilistic approach for building disease phenotypes across electronic health records by David Vidmar, Jessica De Freitas, Will Thompson, John M. Pfeifer, Brandon K. Fornwalt, Noah Zimmerman, Riccardo Miotto, Ruijun Chen

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Sentiment Analysis of Product Reviews Using Fine-Tuned LLaMa-3 Model: Evaluation with Comprehensive Benchmark Metrics by Wang Yili

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Methodology for Data Integration in 3D-HBIM Digital Models. Case Study: the Holy Chalice Chapel of Valencia Cathedral by Pablo Ariel Escudero, Concepción López González, Jorge Luis García Valldecabres

“…<br />The processed data are seamlessly integrated into BIM environments, enabling the incorporation of detailed alphanumeric data and the comprehensive visualisation and analysis of three-dimensional models. This integration is pivotal for the accurate representation and analysis of heritage architecture, providing a robust foundation for decision-making regarding its conservation and maintenance.…”
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An Empirical Comparison of Machine Learning and Deep Learning Models for Automated Fake News Detection by Yexin Tian, Shuo Xu, Yuchen Cao, Zhongyan Wang, Zijing Wei

“…In this study, we systematically evaluate the mathematical foundations and empirical performance of five representative models for automated fake news classification: three classical machine learning algorithms (Logistic Regression, Random Forest, and Light Gradient Boosting Machine) and two state-of-the-art deep learning architectures (A Lite Bidirectional Encoder Representations from Transformers—ALBERT and Gated Recurrent Units—GRUs). …”
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EDT-MCFEF: a multi-channel feature fusion model for emergency department triage of medical texts by Tao Lin, Shiming Yi

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Human Pose Estimation and Event Recognition via Feature Extraction and Neuro-Fuzzy Classifier by Muhammad Hanzla, Naif S. Alshammari, Shuaa S. Alharbi, Wasim Wahid, Nouf Abdullah Almujally, Ahmad Jalal, Hui Liu

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SA3C-ID: a novel network intrusion detection model using feature selection and adversarial training by Wanwei Huang, Haobin Tian, Lei Wang, Sunan Wang, Kun Wang, Songze Li

“…During this training process, both agents calculate the reward value, update their respective strategies, and transfer parameters based on the classification results. Finally, to verify the robustness and generalization ability of the SA3C-ID model, ablation experiments and comparative evaluations are conducted on two benchmark datasets, NSL-KDD and CSE-CIC-IDS2018. …”
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Development with external validation of a prediction model for postoperative acute kidney injury following noncardiac surgery in elderly patients by Xiaoying Zhang, Xianghan Ruan, Yao Yu, Tongyan Sun, Jiaqiang Zhang, Xuhui Cong, Jingsheng Lou, Hao Li, Jiangbei Cao, Yanhong Liu, Weidong Mi

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Bayesian Q-learning in multi-objective reward model for homophobic and transphobic text classification in low-resource languages: A hypothesis testing framework in multi-objective... by Vivek Suresh Raj, Ruba Priyadharshini, Saranya Rajiakodi, Bharathi Raja Chakravarthi

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Research on Chinese patent classification based on structured features by Ran Li, Wangke Yu, Shuhua Wang

“…Abstract The three dimensions of Function, Structure, and Purpose are fundamental to patent classification and play a decisive role in improving the accuracy of patent information categorization. …”
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Improving Automatic Migraine Classification Performance with Naive Bayes by Arzum Karataş

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Using binary classification to evaluate the quality of machine translators by Ran Li, Yihao Yang, Kelin Shen, Mohammad Hijji

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